Results 11 to 20 of about 124,956,210 (348)
Fragmentation and part of speech disambiguation [PDF]
Proceedings of the third conference on European chapter of the Association for Computational Linguistics -, 1987 That at least some syntax is necessary to support semantic processing is fairly obvious. To know exactly how much syntax is needed, however, and how and when to apply it, is still an open and crucial, albeit old, question. This paper discusses the solutions used in a semantic analyser of French called SABA, developed at the University of Liege, Belgium.
Jean-Louis Binot
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Prosodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis [PDF]
, 2020 Recent advances in deep learning methods have elevated synthetic speech quality to human level, and the field is now moving towards addressing prosodic variation in synthetic speech.Despite successes in this effort, the state-of-the-art systems fall ...
Juraj Šimko +7 more
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Analysis of speech prosody using WaveNet embeddings : The Lombard effect [PDF]
, 2020 We present a novel methodology for speech prosody research based on the analysis of embeddings used to condition a convolutional WaveNet speech synthesis system.
Juraj Šimko +5 more
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wav2vec2-based Speech Rating System for Children with Speech Sound Disorder
, 2022 The computational resources were provided by Aalto ScienceIT. This work was supported by NordForsk through the funding to Technology-enhanced foreign and second-language learning of Nordic languages, project number 103893.Speaking is a fundamental way of
Getman, Yaroslav +8 more
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Automatic correction of part-of-speech corpora [PDF]
, 2008 In this study a simple method for automatic correction of part-ofspeech corpora is presented, which works as follows: Initially two or more already available part-of-speech taggers are applied on the data.
Reichel, Uwe D. +1 more
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Distributional part-of-speech tagging [PDF]
Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics -, 1995 This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in context instead of word types. The algorithm is evaluated on the Brown Corpus.
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IEEE Access, 2020 Automatic text classification is a research focus and core technology in information retrieval and natural language processing. Different from the traditional text classification methods (SVM, Bayesian, KNN), the class-center vector method is an ...
Xinhua Zhu +4 more
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Improving the Performance of Vietnamese–Korean Neural Machine Translation with Contextual Embedding
Applied Sciences, 2021 With the recent evolution of deep learning, machine translation (MT) models and systems are being steadily improved. However, research on MT in low-resource languages such as Vietnamese and Korean is still very limited.
Van-Hai Vu +3 more
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Mathematics, 2022 Chinese Medical Named Entity Recognition (Chinese-MNER) aims to identify potential entities and their categories from the unstructured Chinese medical text.
Miao Jiang +4 more
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Poljarnyj Vestnik: Norwegian Journal of Slavic Studies, 2002 The seemingly simple relations between these two categories turn out to be quite complex in the framework of a dependency grammar in which all kinds of segmental linguistic signs are involved: not only free, explicit words but also morphologically ...
Lennart Lönngren
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